Difference between pass and continue ? What is try-except ? What is semi supervised ML , difference between supervised and unsupervised ML, Difference between regression and classification , explain any one ML algorithm.

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pass and continue are control statements in Python. pass does nothing and continue skips the current iteration of a loop.
try-except is a block of code used to handle errors and exceptions in Python.
Semi-supervised ML is a type of machine learning where some data is labeled and some is not. Supervised ML uses labeled data while unsupervised ML uses unlabeled data.
Regression is used to predict continuous values while classification is used to predict categorical values.
One example of an ML algorithm is k-nearest neighbors (KNN) which predicts the class of a new data point based on the class of its k-nearest neighbors.

Difference between pass and continue ? What is try-except ? What is semi supervised ML , difference between supervised and unsupervised ML, Difference between regression and classification , explain any one ML algorithm.

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